Horizontal directional drilling (HDD) is widely used in soil and rock engineering. In a variety of conditions, it is necessary to estimate the torque required for performing the reaming operation. Nevertheless, there is not presently a convenient method to accomplish this task. In this paper, to overcome this difficulty based on the basic concepts of rock engineering systems (RES), a model for ...

In this paper, we propose the pre-equalization technique for the uplink burst transmission under the intersymbol interference (ISI) channel and the rain attenuation channel existed in the Ka-Band (20~30GHz) of the B-WLL system. We compare the mean-square-error (MSE) convergence properties of standard leastmean-square (SLMS) and discrete cosine transform (DCT)-based transform-domain least-mean-s...

Sensitivity and Robustness is the primary issue while designing the controller for non-linear systems. One of the performance objectives for controller design is to keep the error between the controlled output and the set-point as small as possible. A comparison between Evolutionary Algorithms namely GAs (Genetic Algorithms), and Swarm Intelligence, i.e., PSO (Particle Swarm Optimization) and B...

In recent years, approximate circuit design targeting the error-tolerant applications has gained significance. this study, authors propose a metric that ranks stand-alone adder in terms of power savings obtained for given mean error distance/mean square (MSE). The demonstrate ranking adders can be used contain trees and registers. also have accurate multipliers interspersed with adders, find ce...

Abstract: In this paper, we use the mutual information between error/input as the cost function for adaptive filtering. For the finite-impulse response (FIR) filter, the connections between the minimum error/input information (MEII) criterion and traditional mean-square error (MSE) criterion are investigated. We show that, for Gaussian case, the MEII criterion is equivalent to the well-known or...

We consider the problem of subspace estimation in aBayesian setting. Since we are operating in the Grassmann man-ifold, the usual approach which consists of minimizing the meansquare error (MSE) between the true subspace and its estimatemay not be adequate as the MSE is not the natural metric in theGrassmann manifold , i.e., the set of -dimensional subspacesin . As an al...

In this paper, a Fuzzy PI Adaptive Learning controller is proposed for a flight control system to control the angle of attack of an aircraft. The proposed controller tracks the reference angle as desired by the pilot of the aircraft. The performance indices are evaluated and the corresponding value is compared with that for the conventional controllers obtained from Zigler Nichols (ZN), Tyreus ...

In this paper, we propose a differential evolution (DE) algorithm for optimizing the placement and power of the pilot tones that are utilized by a least square (LS) algorithm for channel estimation in multipleinput and multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. Computer simulations demonstrated that the performance of the LS algorithm was increased by optimi...

The recently proposed low-complexity reduction-bycomposition least-mean-square (LMS) algorithm (RCLMS) costs only half multiplications compared to that of the conventional direct-form LMS algorithm (DLMS). This work intends to characterize its properties and conditions for mean and mean-square convergence. Closed-form mean-square error (MSE) as a function of the LMS step-size and an extra compe...